Overview

Dataset statistics

Number of variables21
Number of observations17290
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 MiB
Average record size in memory168.0 B

Variable types

NUM19
CAT1
BOOL1

Warnings

date has a high cardinality: 366 distinct values High cardinality
view has 15594 (90.2%) zeros Zeros
sqft_basement has 10524 (60.9%) zeros Zeros
yr_renovated has 16573 (95.9%) zeros Zeros

Reproduction

Analysis started2020-11-18 01:47:24.749329
Analysis finished2020-11-18 01:48:17.258585
Duration52.51 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

id
Real number (ℝ≥0)

Distinct17182
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4582988326
Minimum1000102
Maximum9900000190
Zeros0
Zeros (%)0.0%
Memory size135.1 KiB
2020-11-17T20:48:17.370110image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1000102
5-th percentile514500213
Q12122059221
median3904990500
Q37305300646
95-th percentile9290856004
Maximum9900000190
Range9899000088
Interquartile range (IQR)5183241425

Descriptive statistics

Standard deviation2873848249
Coefficient of variation (CV)0.6270686383
Kurtosis-1.262721307
Mean4582988326
Median Absolute Deviation (MAD)2401009715
Skewness0.2406502172
Sum7.923986815e+13
Variance8.259003758e+18
MonotocityNot monotonic
2020-11-17T20:48:17.705306image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
7950006203< 0.1%
 
22289002702< 0.1%
 
43450005102< 0.1%
 
63000002262< 0.1%
 
28927000412< 0.1%
 
60215009702< 0.1%
 
27260490712< 0.1%
 
89451003202< 0.1%
 
72278000552< 0.1%
 
20192002202< 0.1%
 
Other values (17172)1726999.9%
 
ValueCountFrequency (%) 
10001021< 0.1%
 
12000191< 0.1%
 
28000311< 0.1%
 
36000721< 0.1%
 
38000081< 0.1%
 
ValueCountFrequency (%) 
99000001901< 0.1%
 
98950000401< 0.1%
 
98423005401< 0.1%
 
98423004851< 0.1%
 
98423000361< 0.1%
 

date
Categorical

HIGH CARDINALITY

Distinct366
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size135.1 KiB
20140623T000000
 
118
20140626T000000
 
115
20140625T000000
 
108
20150427T000000
 
104
20140708T000000
 
101
Other values (361)
16744 
ValueCountFrequency (%) 
20140623T0000001180.7%
 
20140626T0000001150.7%
 
20140625T0000001080.6%
 
20150427T0000001040.6%
 
20140708T0000001010.6%
 
20150325T0000001010.6%
 
20141028T0000001000.6%
 
20150428T000000990.6%
 
20150422T000000980.6%
 
20140528T000000950.5%
 
Other values (356)1625194.0%
 
2020-11-17T20:48:17.863448image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique11 ?
Unique (%)0.1%
2020-11-17T20:48:17.997599image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length15
Median length15
Mean length15
Min length15

price
Real number (ℝ≥0)

Distinct3536
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean539524.7534
Minimum75000
Maximum7700000
Zeros0
Zeros (%)0.0%
Memory size135.1 KiB
2020-11-17T20:48:18.125590image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum75000
5-th percentile210000
Q1322000
median450000
Q3645000
95-th percentile1150000
Maximum7700000
Range7625000
Interquartile range (IQR)323000

Descriptive statistics

Standard deviation367129.5559
Coefficient of variation (CV)0.6804684189
Kurtosis34.31837739
Mean539524.7534
Median Absolute Deviation (MAD)150000
Skewness4.046741542
Sum9328382986
Variance1.347841108e+11
MonotocityNot monotonic
2020-11-17T20:48:18.305108image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
4500001490.9%
 
3500001370.8%
 
5000001230.7%
 
4250001200.7%
 
5500001200.7%
 
3250001150.7%
 
4000001130.7%
 
3750001100.6%
 
2500001050.6%
 
3000001030.6%
 
Other values (3526)1609593.1%
 
ValueCountFrequency (%) 
750001< 0.1%
 
780001< 0.1%
 
800001< 0.1%
 
810001< 0.1%
 
820001< 0.1%
 
ValueCountFrequency (%) 
77000001< 0.1%
 
68850001< 0.1%
 
55700001< 0.1%
 
53500001< 0.1%
 
53000001< 0.1%
 

bedrooms
Real number (ℝ≥0)

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.364777328
Minimum0
Maximum33
Zeros12
Zeros (%)0.1%
Memory size135.1 KiB
2020-11-17T20:48:18.470399image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum33
Range33
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9345629525
Coefficient of variation (CV)0.277748826
Kurtosis59.69661587
Mean3.364777328
Median Absolute Deviation (MAD)1
Skewness2.291539103
Sum58177
Variance0.8734079121
MonotocityNot monotonic
2020-11-17T20:48:18.598174image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
3788845.6%
 
4547131.6%
 
2222212.9%
 
512717.4%
 
62101.2%
 
11661.0%
 
7300.2%
 
8130.1%
 
0120.1%
 
94< 0.1%
 
Other values (3)3< 0.1%
 
ValueCountFrequency (%) 
0120.1%
 
11661.0%
 
2222212.9%
 
3788845.6%
 
4547131.6%
 
ValueCountFrequency (%) 
331< 0.1%
 
111< 0.1%
 
101< 0.1%
 
94< 0.1%
 
8130.1%
 

bathrooms
Real number (ℝ≥0)

Distinct29
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.110598612
Minimum0
Maximum8
Zeros9
Zeros (%)0.1%
Memory size135.1 KiB
2020-11-17T20:48:18.729821image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11.5
median2.25
Q32.5
95-th percentile3.5
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7691985407
Coefficient of variation (CV)0.3644456774
Kurtosis1.275629087
Mean2.110598612
Median Absolute Deviation (MAD)0.5
Skewness0.501743885
Sum36492.25
Variance0.5916663951
MonotocityNot monotonic
2020-11-17T20:48:18.871045image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%) 
2.5435525.2%
 
1311118.0%
 
1.75244414.1%
 
2.2516159.3%
 
215288.8%
 
1.511536.7%
 
2.759155.3%
 
35883.4%
 
3.55833.4%
 
3.254872.8%
 
Other values (19)5113.0%
 
ValueCountFrequency (%) 
090.1%
 
0.53< 0.1%
 
0.75610.4%
 
1311118.0%
 
1.258< 0.1%
 
ValueCountFrequency (%) 
82< 0.1%
 
7.751< 0.1%
 
7.51< 0.1%
 
6.51< 0.1%
 
6.251< 0.1%
 

sqft_living
Real number (ℝ≥0)

Distinct927
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2074.043378
Minimum290
Maximum13540
Zeros0
Zeros (%)0.0%
Memory size135.1 KiB
2020-11-17T20:48:19.008280image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum290
5-th percentile930
Q11420
median1910
Q32540
95-th percentile3760
Maximum13540
Range13250
Interquartile range (IQR)1120

Descriptive statistics

Standard deviation912.9222551
Coefficient of variation (CV)0.4401654589
Kurtosis5.326136058
Mean2074.043378
Median Absolute Deviation (MAD)550
Skewness1.456396663
Sum35860210
Variance833427.0439
MonotocityNot monotonic
2020-11-17T20:48:19.158017image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
14001180.7%
 
16601100.6%
 
13001090.6%
 
18001060.6%
 
14801060.6%
 
10101040.6%
 
18201010.6%
 
17201010.6%
 
14401000.6%
 
12501000.6%
 
Other values (917)1623593.9%
 
ValueCountFrequency (%) 
2901< 0.1%
 
3701< 0.1%
 
3841< 0.1%
 
3902< 0.1%
 
4101< 0.1%
 
ValueCountFrequency (%) 
135401< 0.1%
 
120501< 0.1%
 
98901< 0.1%
 
92001< 0.1%
 
86701< 0.1%
 

sqft_lot
Real number (ℝ≥0)

Distinct8452
Distinct (%)48.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15195.02707
Minimum520
Maximum1651359
Zeros0
Zeros (%)0.0%
Memory size135.1 KiB
2020-11-17T20:48:19.297515image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum520
5-th percentile1793
Q15030.75
median7590
Q310676.5
95-th percentile43327.95
Maximum1651359
Range1650839
Interquartile range (IQR)5645.75

Descriptive statistics

Standard deviation42821.05179
Coefficient of variation (CV)2.818096447
Kurtosis299.8414412
Mean15195.02707
Median Absolute Deviation (MAD)2610
Skewness13.54738572
Sum262722018
Variance1833642476
MonotocityNot monotonic
2020-11-17T20:48:19.443585image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
50002921.7%
 
60002401.4%
 
40002071.2%
 
72001741.0%
 
4500940.5%
 
7500900.5%
 
4800870.5%
 
9600860.5%
 
8400850.5%
 
3600830.5%
 
Other values (8442)1585291.7%
 
ValueCountFrequency (%) 
5201< 0.1%
 
5721< 0.1%
 
6091< 0.1%
 
6381< 0.1%
 
6492< 0.1%
 
ValueCountFrequency (%) 
16513591< 0.1%
 
11647941< 0.1%
 
10742181< 0.1%
 
10240681< 0.1%
 
9829981< 0.1%
 

floors
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.49534413
Minimum1
Maximum3.5
Zeros0
Zeros (%)0.0%
Memory size135.1 KiB
2020-11-17T20:48:19.566772image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q32
95-th percentile2
Maximum3.5
Range2.5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5406370881
Coefficient of variation (CV)0.3615469359
Kurtosis-0.4813253064
Mean1.49534413
Median Absolute Deviation (MAD)0.5
Skewness0.616994643
Sum25854.5
Variance0.292288461
MonotocityNot monotonic
2020-11-17T20:48:19.677846image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
1852949.3%
 
2658938.1%
 
1.515378.9%
 
34972.9%
 
2.51320.8%
 
3.56< 0.1%
 
ValueCountFrequency (%) 
1852949.3%
 
1.515378.9%
 
2658938.1%
 
2.51320.8%
 
34972.9%
 
ValueCountFrequency (%) 
3.56< 0.1%
 
34972.9%
 
2.51320.8%
 
2658938.1%
 
1.515378.9%
 

waterfront
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size135.1 KiB
0
17152 
1
 
138
ValueCountFrequency (%) 
01715299.2%
 
11380.8%
 
2020-11-17T20:48:19.920431image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

view
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2346443031
Minimum0
Maximum4
Zeros15594
Zeros (%)90.2%
Memory size135.1 KiB
2020-11-17T20:48:20.006627image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7680595297
Coefficient of variation (CV)3.273292893
Kurtosis10.92832371
Mean0.2346443031
Median Absolute Deviation (MAD)0
Skewness3.399929342
Sum4057
Variance0.5899154412
MonotocityNot monotonic
2020-11-17T20:48:20.118451image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
01559490.2%
 
27784.5%
 
33972.3%
 
42631.5%
 
12581.5%
 
ValueCountFrequency (%) 
01559490.2%
 
12581.5%
 
27784.5%
 
33972.3%
 
42631.5%
 
ValueCountFrequency (%) 
42631.5%
 
33972.3%
 
27784.5%
 
12581.5%
 
01559490.2%
 

condition
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.411220359
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size135.1 KiB
2020-11-17T20:48:20.226715image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6521153241
Coefficient of variation (CV)0.191167751
Kurtosis0.5014409231
Mean3.411220359
Median Absolute Deviation (MAD)0
Skewness1.039964803
Sum58980
Variance0.4252543959
MonotocityNot monotonic
2020-11-17T20:48:20.333014image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
31122064.9%
 
4453126.2%
 
513808.0%
 
21370.8%
 
1220.1%
 
ValueCountFrequency (%) 
1220.1%
 
21370.8%
 
31122064.9%
 
4453126.2%
 
513808.0%
 
ValueCountFrequency (%) 
513808.0%
 
4453126.2%
 
31122064.9%
 
21370.8%
 
1220.1%
 

grade
Real number (ℝ≥0)

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.654829381
Minimum1
Maximum13
Zeros0
Zeros (%)0.0%
Memory size135.1 KiB
2020-11-17T20:48:20.437645image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q17
median7
Q38
95-th percentile10
Maximum13
Range12
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.180167091
Coefficient of variation (CV)0.15417288
Kurtosis1.226700173
Mean7.654829381
Median Absolute Deviation (MAD)1
Skewness0.7723409084
Sum132352
Variance1.392794363
MonotocityNot monotonic
2020-11-17T20:48:20.552482image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%) 
7717841.5%
 
8485628.1%
 
9205611.9%
 
616439.5%
 
109295.4%
 
113131.8%
 
52011.2%
 
12750.4%
 
4230.1%
 
13120.1%
 
Other values (2)4< 0.1%
 
ValueCountFrequency (%) 
11< 0.1%
 
33< 0.1%
 
4230.1%
 
52011.2%
 
616439.5%
 
ValueCountFrequency (%) 
13120.1%
 
12750.4%
 
113131.8%
 
109295.4%
 
9205611.9%
 

sqft_above
Real number (ℝ≥0)

Distinct844
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1784.347715
Minimum290
Maximum9410
Zeros0
Zeros (%)0.0%
Memory size135.1 KiB
2020-11-17T20:48:20.681722image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum290
5-th percentile850
Q11190
median1560
Q32210
95-th percentile3375.5
Maximum9410
Range9120
Interquartile range (IQR)1020

Descriptive statistics

Standard deviation822.5892842
Coefficient of variation (CV)0.4610027951
Kurtosis3.262076156
Mean1784.347715
Median Absolute Deviation (MAD)460
Skewness1.412496269
Sum30851372
Variance676653.1305
MonotocityNot monotonic
2020-11-17T20:48:20.819224image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
10101701.0%
 
13001671.0%
 
12001630.9%
 
12201530.9%
 
10601470.9%
 
14001470.9%
 
13401450.8%
 
11401430.8%
 
12501410.8%
 
13201380.8%
 
Other values (834)1577691.2%
 
ValueCountFrequency (%) 
2901< 0.1%
 
3701< 0.1%
 
3841< 0.1%
 
3902< 0.1%
 
4101< 0.1%
 
ValueCountFrequency (%) 
94101< 0.1%
 
88601< 0.1%
 
85701< 0.1%
 
78801< 0.1%
 
78501< 0.1%
 

sqft_basement
Real number (ℝ≥0)

ZEROS

Distinct284
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean289.6956622
Minimum0
Maximum4130
Zeros10524
Zeros (%)60.9%
Memory size135.1 KiB
2020-11-17T20:48:20.957391image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3560
95-th percentile1190
Maximum4130
Range4130
Interquartile range (IQR)560

Descriptive statistics

Standard deviation440.1041734
Coefficient of variation (CV)1.519194903
Kurtosis2.328653533
Mean289.6956622
Median Absolute Deviation (MAD)0
Skewness1.549080927
Sum5008838
Variance193691.6834
MonotocityNot monotonic
2020-11-17T20:48:21.093862image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01052460.9%
 
6001821.1%
 
7001741.0%
 
5001721.0%
 
8001590.9%
 
4001470.9%
 
9001180.7%
 
3001120.6%
 
10001110.6%
 
530900.5%
 
Other values (274)550131.8%
 
ValueCountFrequency (%) 
01052460.9%
 
101< 0.1%
 
403< 0.1%
 
507< 0.1%
 
608< 0.1%
 
ValueCountFrequency (%) 
41301< 0.1%
 
35001< 0.1%
 
34801< 0.1%
 
30001< 0.1%
 
28101< 0.1%
 

yr_built
Real number (ℝ≥0)

Distinct116
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1970.821168
Minimum1900
Maximum2015
Zeros0
Zeros (%)0.0%
Memory size135.1 KiB
2020-11-17T20:48:21.223954image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1900
5-th percentile1915
Q11951
median1975
Q31997
95-th percentile2010
Maximum2015
Range115
Interquartile range (IQR)46

Descriptive statistics

Standard deviation29.51234269
Coefficient of variation (CV)0.01497464263
Kurtosis-0.6807703274
Mean1970.821168
Median Absolute Deviation (MAD)23
Skewness-0.4653341188
Sum34075498
Variance870.9783708
MonotocityNot monotonic
2020-11-17T20:48:21.364755image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
20144422.6%
 
20063832.2%
 
20053712.1%
 
20043452.0%
 
20033422.0%
 
19773301.9%
 
20073271.9%
 
19783101.8%
 
19683081.8%
 
19672831.6%
 
Other values (106)1384980.1%
 
ValueCountFrequency (%) 
1900700.4%
 
1901240.1%
 
1902200.1%
 
1903380.2%
 
1904400.2%
 
ValueCountFrequency (%) 
2015320.2%
 
20144422.6%
 
20131500.9%
 
20121360.8%
 
20111000.6%
 

yr_renovated
Real number (ℝ≥0)

ZEROS

Distinct66
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.77362637
Minimum0
Maximum2015
Zeros16573
Zeros (%)95.9%
Memory size135.1 KiB
2020-11-17T20:48:21.506085image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2015
Range2015
Interquartile range (IQR)0

Descriptive statistics

Standard deviation397.9776168
Coefficient of variation (CV)4.808024418
Kurtosis19.16917439
Mean82.77362637
Median Absolute Deviation (MAD)0
Skewness4.600593497
Sum1431156
Variance158386.1835
MonotocityNot monotonic
2020-11-17T20:48:21.654250image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01657395.9%
 
2014720.4%
 
2000310.2%
 
2003280.2%
 
2013270.2%
 
2007260.2%
 
2005240.1%
 
2006210.1%
 
2004200.1%
 
1990190.1%
 
Other values (56)4492.6%
 
ValueCountFrequency (%) 
01657395.9%
 
19402< 0.1%
 
19441< 0.1%
 
19453< 0.1%
 
19461< 0.1%
 
ValueCountFrequency (%) 
2015150.1%
 
2014720.4%
 
2013270.2%
 
201290.1%
 
20117< 0.1%
 

zipcode
Real number (ℝ≥0)

Distinct70
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98077.8251
Minimum98001
Maximum98199
Zeros0
Zeros (%)0.0%
Memory size135.1 KiB
2020-11-17T20:48:21.802130image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum98001
5-th percentile98004
Q198033
median98065
Q398117
95-th percentile98177
Maximum98199
Range198
Interquartile range (IQR)84

Descriptive statistics

Standard deviation53.30329337
Coefficient of variation (CV)0.0005434795614
Kurtosis-0.8525081386
Mean98077.8251
Median Absolute Deviation (MAD)42
Skewness0.401199936
Sum1695765596
Variance2841.241084
MonotocityNot monotonic
2020-11-17T20:48:22.117797image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
981154842.8%
 
981174812.8%
 
980384722.7%
 
980524702.7%
 
981034692.7%
 
980344402.5%
 
980424342.5%
 
981184312.5%
 
980233992.3%
 
981333942.3%
 
Other values (60)1281674.1%
 
ValueCountFrequency (%) 
980012771.6%
 
980021610.9%
 
980032361.4%
 
980042581.5%
 
980051260.7%
 
ValueCountFrequency (%) 
981992491.4%
 
981982151.2%
 
981881080.6%
 
981782061.2%
 
981772021.2%
 

lat
Real number (ℝ≥0)

Distinct4832
Distinct (%)27.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.56018304
Minimum47.1647
Maximum47.7776
Zeros0
Zeros (%)0.0%
Memory size135.1 KiB
2020-11-17T20:48:22.265551image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum47.1647
5-th percentile47.3109
Q147.4713
median47.572
Q347.6783
95-th percentile47.7494
Maximum47.7776
Range0.6129
Interquartile range (IQR)0.207

Descriptive statistics

Standard deviation0.1385656812
Coefficient of variation (CV)0.002913480822
Kurtosis-0.6773150498
Mean47.56018304
Median Absolute Deviation (MAD)0.1049
Skewness-0.4888071489
Sum822315.5647
Variance0.019200448
MonotocityNot monotonic
2020-11-17T20:48:22.404354image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
47.5322160.1%
 
47.5533140.1%
 
47.6886130.1%
 
47.6846130.1%
 
47.5491130.1%
 
47.6904130.1%
 
47.7145120.1%
 
47.5427120.1%
 
47.6914120.1%
 
47.6754120.1%
 
Other values (4822)1716099.2%
 
ValueCountFrequency (%) 
47.16471< 0.1%
 
47.17762< 0.1%
 
47.17951< 0.1%
 
47.18031< 0.1%
 
47.18081< 0.1%
 
ValueCountFrequency (%) 
47.77763< 0.1%
 
47.77752< 0.1%
 
47.77741< 0.1%
 
47.77723< 0.1%
 
47.77711< 0.1%
 

long
Real number (ℝ)

Distinct735
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-122.2136619
Minimum-122.514
Maximum-121.315
Zeros0
Zeros (%)0.0%
Memory size135.1 KiB
2020-11-17T20:48:22.545587image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-122.514
5-th percentile-122.387
Q1-122.328
median-122.231
Q3-122.124
95-th percentile-121.978
Maximum-121.315
Range1.199
Interquartile range (IQR)0.204

Descriptive statistics

Standard deviation0.1413044141
Coefficient of variation (CV)-0.001156208004
Kurtosis1.108999643
Mean-122.2136619
Median Absolute Deviation (MAD)0.101
Skewness0.8949016449
Sum-2113074.214
Variance0.01996693744
MonotocityNot monotonic
2020-11-17T20:48:22.693651image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-122.291000.6%
 
-122.3900.5%
 
-122.362890.5%
 
-122.291880.5%
 
-122.288840.5%
 
-122.372810.5%
 
-122.172800.5%
 
-122.363800.5%
 
-122.375780.5%
 
-122.299780.5%
 
Other values (725)1644295.1%
 
ValueCountFrequency (%) 
-122.5141< 0.1%
 
-122.5121< 0.1%
 
-122.5112< 0.1%
 
-122.5092< 0.1%
 
-122.5071< 0.1%
 
ValueCountFrequency (%) 
-121.3152< 0.1%
 
-121.3161< 0.1%
 
-121.3191< 0.1%
 
-121.3211< 0.1%
 
-121.3251< 0.1%
 

sqft_living15
Real number (ℝ≥0)

Distinct713
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1986.67941
Minimum399
Maximum6210
Zeros0
Zeros (%)0.0%
Memory size135.1 KiB
2020-11-17T20:48:22.837129image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum399
5-th percentile1140
Q11490
median1840
Q32360
95-th percentile3300
Maximum6210
Range5811
Interquartile range (IQR)870

Descriptive statistics

Standard deviation683.2534721
Coefficient of variation (CV)0.3439173269
Kurtosis1.437062962
Mean1986.67941
Median Absolute Deviation (MAD)410
Skewness1.079476076
Sum34349687
Variance466835.3071
MonotocityNot monotonic
2020-11-17T20:48:22.987802image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
15601580.9%
 
15401560.9%
 
14401510.9%
 
15001400.8%
 
15501350.8%
 
17601340.8%
 
14601330.8%
 
15801330.8%
 
16201310.8%
 
14801310.8%
 
Other values (703)1588891.9%
 
ValueCountFrequency (%) 
3991< 0.1%
 
4602< 0.1%
 
6201< 0.1%
 
6701< 0.1%
 
6901< 0.1%
 
ValueCountFrequency (%) 
62101< 0.1%
 
57905< 0.1%
 
53801< 0.1%
 
52201< 0.1%
 
51701< 0.1%
 

sqft_lot15
Real number (ℝ≥0)

Distinct7562
Distinct (%)43.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12845.61174
Minimum651
Maximum871200
Zeros0
Zeros (%)0.0%
Memory size135.1 KiB
2020-11-17T20:48:23.130238image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum651
5-th percentile1966.35
Q15100
median7600
Q310078.75
95-th percentile37287.05
Maximum871200
Range870549
Interquartile range (IQR)4978.75

Descriptive statistics

Standard deviation28028.1806
Coefficient of variation (CV)2.181926495
Kurtosis159.9661426
Mean12845.61174
Median Absolute Deviation (MAD)2500
Skewness9.779303265
Sum222100627
Variance785578907.8
MonotocityNot monotonic
2020-11-17T20:48:23.269755image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
50003402.0%
 
40002871.7%
 
60002391.4%
 
72001640.9%
 
75001100.6%
 
48001090.6%
 
3600910.5%
 
5100890.5%
 
4500880.5%
 
8000860.5%
 
Other values (7552)1568790.7%
 
ValueCountFrequency (%) 
6511< 0.1%
 
6591< 0.1%
 
6601< 0.1%
 
7482< 0.1%
 
7504< 0.1%
 
ValueCountFrequency (%) 
8712001< 0.1%
 
8581321< 0.1%
 
5606171< 0.1%
 
4382131< 0.1%
 
4347281< 0.1%
 

Interactions

2020-11-17T20:47:30.538919image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:30.664820image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:30.775296image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:30.881322image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:30.996914image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:31.106080image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:31.214088image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:31.318949image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:31.428863image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:31.541571image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:31.645301image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:31.748630image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:31.852940image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:32.080753image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:32.190298image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:32.300130image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:32.407490image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:32.513678image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:32.626759image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:32.730034image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:32.842031image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:32.958391image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:33.070690image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:33.185511image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:33.299962image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:33.413945image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:33.526275image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:33.641821image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:33.757769image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:33.868550image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:33.978648image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:34.088322image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:34.201368image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:34.318548image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:34.436141image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:34.552035image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:34.663738image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:34.775702image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:34.885201image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:34.992628image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:35.250917image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:35.356811image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:35.469815image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:35.579429image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:35.687611image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:35.792999image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:35.903353image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:36.015639image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:36.121493image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:36.224346image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:36.329199image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:36.436417image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:36.550004image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:36.661815image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:36.770414image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:36.877150image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:36.983700image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:37.088625image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:37.199173image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:37.315367image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:37.428303image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:37.551533image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:37.671980image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:37.783966image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:37.895117image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:38.011936image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:38.127943image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:38.388923image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:38.499111image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:38.608478image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:38.720263image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:38.836524image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:38.954468image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:39.067579image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:39.178885image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:39.291802image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:39.400830image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:39.513921image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:39.629275image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:39.740772image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:39.854759image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:39.967448image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:40.080223image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:40.189633image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:40.303817image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:40.419426image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:40.529975image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:40.637892image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:40.743350image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:40.851141image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:40.963550image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:41.075942image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:41.184600image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:41.292991image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:41.551026image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:41.656772image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:41.762400image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:41.872822image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:41.980146image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:42.090299image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:42.199096image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:42.307095image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:42.413179image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:42.525165image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:42.635259image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:42.742140image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:42.845522image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:42.949297image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:43.084508image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:43.196094image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:43.309276image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:43.417022image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:43.526836image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:43.634302image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:43.739176image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:43.843001image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:43.952108image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:44.056328image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:47:44.163425image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
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2020-11-17T20:48:12.079619image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:48:12.209291image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:48:12.328363image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:48:12.444984image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:48:12.565221image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:48:12.714430image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:48:12.845017image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:48:12.974390image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:48:13.098761image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:48:13.221307image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:48:13.331827image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:48:13.446303image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:48:13.567559image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:48:13.698999image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:48:13.817789image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:48:14.108204image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:48:14.221063image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:48:14.328855image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:48:14.437014image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:48:14.553525image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:48:14.672885image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:48:14.798371image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:48:14.918175image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:48:15.038589image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:48:15.155672image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:48:15.279572image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:48:15.403275image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:48:15.520031image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:48:15.634561image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:48:15.750403image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:48:15.869846image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:48:16.002832image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:48:16.125275image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:48:16.245897image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:48:16.382023image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:48:16.508253image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Correlations

2020-11-17T20:48:23.416270image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-11-17T20:48:23.620401image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-11-17T20:48:23.820208image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-11-17T20:48:24.185652image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-11-17T20:48:16.804708image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-17T20:48:17.128254image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Sample

First rows

iddatepricebedroomsbathroomssqft_livingsqft_lotfloorswaterfrontviewconditiongradesqft_abovesqft_basementyr_builtyr_renovatedzipcodelatlongsqft_living15sqft_lot15
0256134002020140804T000000325000.031.751780110961.000371210570197909807447.6170-122.051178010640
1859820007020141208T000000278000.022.50142022292.0003714200200409805947.4871-122.16515002230
2678820093120140520T000000710000.021.00179040001.000471040750192309811247.6405-122.30113104000
3302305901220140910T000000389900.041.0017101171761.5004617100194209805547.4497-122.212194012223
4568350003020150320T000000489000.041.00115052171.5003711500195109811547.6806-122.28712205217
5614110033020140612T000000440000.031.00171065561.500471200510192609813347.7185-122.35414106563
6333990009620141210T000000250750.051.752140120581.0004821400195109800247.3167-122.214164010125
7317910018020150507T0000001540000.053.25292069602.001392120800195320089810547.6712-122.27224706735
8662040040020140813T000000309950.011.001120118001.5003711200195009816847.5123-122.33123309290
9558930049520150304T000000310000.032.75215065761.000471900250192609815547.7539-122.30821509071

Last rows

iddatepricebedroomsbathroomssqft_livingsqft_lotfloorswaterfrontviewconditiongradesqft_abovesqft_basementyr_builtyr_renovatedzipcodelatlongsqft_living15sqft_lot15
17280282604919720140804T000000607500.042.50300081002.0003830000199209812547.7151-122.30515508100
17281154580812020140918T000000250000.032.00159081001.000371060530199609803847.3611-122.04715908100
17282344700006020141008T000000577500.031.752140132861.000481220920196409800647.5722-122.128225013286
17283285610175520150504T000000712000.032.00170051001.500471500200192409811747.6790-122.39017005100
1728435700000520141222T000000500000.042.00168038132.0004716800190009814447.5930-122.29325403996
17285785657019020140822T000000870000.042.753410230002.00041034100198209800647.5559-122.149249015512
17286153100003020150323T000000720000.042.503450396832.00031034500200209801047.3420-122.025335039750
1728725900024020140617T000000506000.031.75218077001.000381480700196109817747.7594-122.36121807604
17288717480076020140725T000000667000.052.00190054701.000371180720193019659810547.6666-122.30313003250
17289952110028020140612T000000480000.032.50125011033.0023812500200509810347.6619-122.35212501188